We integrate learning design, multimodal evidence, and intelligent support to understand and enhance learning across diverse contexts.
Core Research Areas
Adaptive Learning and Instructional Design
E-Learning and HyFlex Learning
Problem-Based Learning and Computer-Supported Collaborative Learning (CSCL)
Design and Development Research
AI-Enabled Multimodal Learning Analytics
About the Lab
Grounded in learning theory and instructional design, we use AI and multimodal data, including brain signals, discourse, behavior, interaction, and digital learning traces, to understand how learning unfolds and to design better learning environments, instructor support, adaptive feedback, and AI agents.
At LDI Lab, intelligence is the capacity to sense, understand, and support learning through theory, data, and AI.
Featured Projects
Project 01
FOCUS
APPROACH
We investigate how AI reshapes learning, self-regulation, and decision-making. We design AI learning agents that use pedagogical strategies to support productive AI use while sustaining learners’ critical thinking and control over their learning.
Project 02
FOCUS
APPROACH
We investigate how social and cognitive presence emerge in HyFlex learning environments. Using brain and behavioral data, we examine learner synchrony and engagement to inform the design of HyFlex learning models and support tools.
Project 03
FOCUS
APPROACH
We investigate collaborative problem-solving in CSCL through AI-assisted discourse analysis. We integrate explainable AI with researchers’ pedagogical judgment to make automated discourse analysis more interpretable and educationally meaningful.
People
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Publications
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Contact
Hanyang University, Department of Educational Technology
Email: hyeshinlab@gmail.com